Using LXML for web scraping to get data about Nobel prize winners from wikipedia. This is done using IPython Notebook and pandas for data analysis.
Github/NBViewer Link:
http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/1.%20Web%20Scraping.ipynb

Wikipedia has over 4.45 million articles in about 32 million pages.
This VM has been running for over 1 week now, taking gaps in between.
Now is the time to break this process, as it is likely to take another few days / weeks if continued like this.
Lets pause the VM and take a final snapshot !
VMware VM snapshots sometimes require immense hardware resources and time, especially on a huge VM like this one, Wikipedia.
As we see 8 GB RAM is given to the VM, the Disk contention has suffered greatly during this process...
CPU and RAM were relatively free, but disk was highly occupied with disk I/0 activity ranging between 1 to MB/sec throughout.
Therefore, we shall look at installing local Wikipedia through a Big Data subsystem in the next activity. We shall bring in a "Mahout library", that works with HADOOP and HDFS, and then perform similar activity with parallel processing.
To see how our local wikipedia looks as of now, lets open the web browser, and open the web page.
Mahout is a scalable machine learning library that implements many different approaches to machine learning. The project currently contains implementations of
algorithms for classification, clustering, frequent item set mining, genetic programming and collaborative filtering. Mahout is scalable along three dimensions: It
scales to reasonably large data sets by leveraging algorithm properties or implementing versions based on Apache Hadoop.
Snapshot is 85% complete now, and after this finishes, lets have a look at our local Wikipedia page. The whole idea is to manage huge sums of information. In this
example, we saw that MediaWiki Inc. allows the public to download its database dumps. The english version of Wikipedia consists of a compressed file of 9.9 GB, which decompresses to over 44 GB XML file. This XML file has the structure and content of entire Wikipedia english TEXT pages. There is a seperate database for images,
diagrams and photos. Alright, the FINAL snapshot is over, let see the state our VM now, and connect to it through the web browser.
That is the URL, and we have the main page. Let give a search... Wikipedia on the internet is extensively CACHED, hence we get responses almost immediately. In a
Virtualization environment, this may be slow.
So lets stop the MWdumper from reading the wiki-dump. Now this is your local wikipedia.
It doesn't end here. This ought to be used later for Data mining, and other project purposes.
Thanks for Watching !!!

Created By : Redfeather
@ : http://grephaxs.com
This is Redfeather from Grep Haxs in this video we will be talking about
how to join a Bitcoin mining pool
but before we begin there is some very important things you should do before
mining any Bitcoin or for that matter joining any mining pool
in the proses of mining whether it be solo or in a mining pool this will cause your
system to work much harder and if not monitored could cause overheating
so in order to keep your system whether it be an all out mining rig or a gaming rig
or possibly laptop , PC just to get your feet wet in Bitcoin mining
monitoring your system is a must if you are running a Linux operating system you
can click on the software center and type open hardware monitor
you can see I have found four but it is up to you to chose the best one for your needs
as not one shoe fits everyone and you may have specific monitoring likes or needs than I do
or if you are a Linux or windows user you can go to open hardware monitor . Org there is also a
download there
so lets get started with joining a mining pool if you think of it as a swimming pool or an outside
pool the first thing that may come to mind is the temperature of the water in the pool so you use your big toe to sample the pool water
well mining Bitcoin or for that matter joining a mining pool is similar in nature but instead of
your big toe in order to get a feeling you must use your brain and hopefully make the proper choice
the best place to get started on this is at the wiki comparison of mining pools page there
is a lot of information concerning mining pools as well as links directly to the mining pools website
and links directly to there forums just encase you have questions
while on this page for example if you click the web link for Slush pool once there you may
notice they have a nice demo on what your mining pool account will look like and the operation of it
pretty much mining pool websites and account creation are the same as any other website
wen joining a mining pool of your preference there may or may not be rules to follow and or particular software that needs to be installed
this wiki comparison of mining pools page also shows any fees and how they are treated by the mining pool although these fees and the handling thereof could change as regions , countries or governments
put further taxation or restrictions on crypto currencies
I hope you have enjoyed this video hopefully you will join us for our next video on Bitcoin which will be How To Bitcoin Mine The Easy Way
and if you found this video helpful why not give this video a like and while your at it why not become a subscriber
if you would like to read some interesting articles than by all means visit us at our website
@ http://grephaxs.com
the intro/extro of this video has been provided by alexabaiu1 from his YouTube channel
thank you in advance I am out

There is an abundance of data in social media sites (Wikipedia, Facebook, Instagram, etc.) which can be accessed through web APIs. But how do we know that the data from the Wikipedia article on "Golden Gate Bridge" goes along with the data from "Golden Gate Bridge" Facebook page? This represents an important question about integrating data from various sources.
In this talk, I'll outline important aspects of structured data mining, integration and entity resolution methods in a scalable system.

What is SOCIAL MEDIA MINING? What does SOCIAL MEDIA MINING mean? SOCIAL MEDIA MINING meaning - SOCIAL MEDIA MINING definition - SOCIAL MEDIA MINING explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ
Social media mining is the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. The term "mining" is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to sift through vast quanitites of raw ore to find the precious minerals; likewise, social media "mining" requires human data analysts and automated software programs to sift through massive amounts of raw social media data (e.g., on social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, etc.) in order to discern patterns and trends. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs (or, for companies, new products, processes and services).
Social media mining uses a range of basic concepts from computer science, data mining, machine learning and statistics. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining is based on theories and methodologies from social network analysis, network science, sociology, ethnography, optimization and mathematics. It encompasses the tools to formally represent, measure, model, and mine meaningful patterns from large-scale social media data. In the 2010s, major corporations, as well as governments and not-for-profit organizations engage in social media mining to find out more about key populations of interest, which, depending on the organization carrying out the "mining", may be customers, clients, or citizens.
As defined by Kaplan and Haenlein, social media is the "group of internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange of user-generated content." There are many categories of social media including, but not limited to, social networking (Facebook or LinkedIn), microblogging (Twitter), photo sharing (Flickr, Photobucket, or Picasa), news aggregation (Google reader, StumbleUpon, or Feedburner), video sharing (YouTube, MetaCafe), livecasting (Ustream or Twitch.tv), virtual worlds (Kaneva), social gaming (World of Warcraft), social search (Google, Bing, or Ask.com), and instant messaging (Google Talk, Skype, or Yahoo! messenger).
The first social media website was introduced by GeoCities in 1994. It enabled users to create their own homepages without having a sophisticated knowledge of HTML coding. The first social networking site, SixDegree.com, was introduced in 1997. Since then, many other social media sites have been introduced, each providing service to millions of people. These individuals form a virtual world in which individuals (social atoms), entities (content, sites, etc.) and interactions (between individuals, between entities, between individuals and entities) coexist. Social norms and human behavior govern this virtual world. By understanding these social norms and models of human behavior and combining them with the observations and measurements of this virtual world, one can systematically analyze and mine social media. Social media mining is the process of representing, analyzing, and extracting meaningful patterns from data in social media, resulting from social interactions. It is an interdisciplinary field encompassing techniques from computer science, data mining, machine learning, social network analysis, network science, sociology, ethnography, statistics, optimization, and mathematics. Social media mining faces grand challenges such as the big data paradox, obtaining sufficient samples, the noise removal fallacy, and evaluation dilemma. Social media mining represents the virtual world of social media in a computable way, measures it, and designs models that can help us understand its interactions. In addition, social media mining provides necessary tools to mine this world for interesting patterns, analyze information diffusion, study influence and homophily, provide effective recommendations, and analyze novel social behavior in social media.

This video goes over my 7 day 1 week Bitcoin Mining experiment. I let my computer Mine for Bitcoin for a week straight, to see how much money I could generate. I left my PC on while I slept and well, you'll have to watch the video to see what I made in profit. :)
Links:
Bitcoin Wallet: http://bitcoin.org/en/choose-your-wallet
GUI Miner: https://bitcointalk.org/?topic=3878.0
BitCoin Calculator: https://bitclockers.com/calc
Monitor How Many Watts Your Computer Uses:http://www.newegg.com/Product/Product.aspx?Item=N82E16882715001
MH/s Hardware Comparison: https://en.bitcoin.it/wiki/Comparison_of_mining_pools
Thanks for watching, and let me know what I should do next.
Thanks!

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Lyrics
We're no strangers to love
You know the rules and so do I
A full commitment's what I'm thinking of
You wouldn't get this from any other guy
I just wanna tell you how I'm feeling
Gotta make you understand
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
We've known each other for so long
Your heart's been aching, but
You're too shy to say it
Inside, we both know what's been going on
We know the game and we're gonna play it
And if you ask me how I'm feeling
Don't tell me you're too blind to see
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
(Ooh, give you up)
(Ooh, give you up)
Never gonna give, never gonna give
(Give you up)
Never gonna give, never gonna give
(Give you up)
We've known each other for so long
Your heart's been aching, but
You're too shy to say it
Inside, we both know what's been going on
We know the game and we're gonna play it
I just wanna tell you how I'm feeling
Gotta make you understand
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you
Never gonna give you up
Never gonna let you down
Never gonna run around and desert you
Never gonna make you cry
Never gonna say goodbye
Never gonna tell a lie and hurt you"

https://www.pencilneck.org/makemoneydomainhuntergatherer Today I am going to review how you can make money with Domain Hunter Gatherer.
The Cheapest Method
For starters, you can use the Premium Web2.0 Hunter to find expired web 2.0 properties which you can reregister. Applying this method, you will be able to acquire these assets for very cheap. After you register the 2.0, you will simply rebuild it and add all the nice graphics and fill out the pertinent information to make it look legit and add a link back to your website.
You can now build up an extensive network of these sites and use them for ranking and backlinking your money sites.
Or you can flip these subdomains.
Or perhaps you would rather sell links from your freshly acquired aged web 2.0s.
The Most Expensive Method
You can use Domain Auction Hunter and scrape the most popular domain auction houses to find the highest quality expiring domains.
With this strategy you will be spending more money, but, you will also be picking up the most powerful domains before they expire and get put back into the pool of deleted domains.
These domains are more spendy because many people will be looking for these assets plus these properties will also have higher DA (domain authority) and TF (trust flow). Plus many of the tools used for locating these domains still show Page Rank (PR). So there will be people who are willing to spend hundreds of dollars for a PR4+ domain.
However, you can use the software for free should you choose this opportunity, but it also is included in the professional version.
You can easily make money by picking up these retiring beauties and then you could simply just flip the URL for two to three times what you paid. Or more possibly, depending on the domain.
Or, to make an even better profit you could build a website on this piece of internet real estate and then generate some traffic to it, then flip the site on a site like Flippa or eBay. You could also offer SEO services, web design, traffic packages, or whatever services you feel comfortable offering.
You could charge ten times the monthly revenue the website is generating. Or perhaps, even figure the price at something like two to three years worth of income the site generates.
My Favorite Method
I love using Expired Domain Hunter as this is the most economical way to acquire large amounts of aged domains with good metrics for the price of registration. No auction fees or anything like that. Just go and buy them outright for roughly ten bucks each.
Using the Domain Hunter Gatherer Pro software makes picking up the sweetest expired domains a breeze and is totally worth the monthly fee should you want to consistently scrape for aged domains and grow your business.
Or, maybe you don't want to add fresh domains to your network all the time. Regardless, DHG is a fantastic bargain even if you only want to use it on an "as needed" single or month by month basis. Jim Epton (the owner) does not have a problem with that at all.
Let me tell you. DHG Pro is the fun way to build a rock solid business should you choose this method. The Professional Version opens up, even more, possibilities.
You can crawl for expired domains from a specific keyword or keywords. You could even upload a list of keywords you are looking for.
Or, you can hunt by crawling authority websites. The best way to do this is by using a seed list. You will need a piece of software like ScrapeBox and a gigantic list of keywords. You will then scrape a site like Wikipedia or any other high authority website of your choosing.
Then, when that has completed, you should have a big old list of highly trusted website URLs which can be uploaded into Expired Domain Hunter Hunt From Website. This method will generate a high volume of expired domains that have links coming directly from your desired source.
Now, here is where the work comes in.
To find out more continue reading on our blog!
Please Check Out All of My Other Gigs and Social Properties.
Please follow, like, subscribe, and all that jazz!
Visit our website and subscribe to our newsletter.
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expired domain hunter
domain auction hunter
domain mining software

Blockspring has +1000 functions that can all be used in Google Sheets. Check out the blog post here: https://api.blockspring.com/blog/blockspring-for-google-sheets
In this example, we'll show you how to analyze Wikipedia articles and categories: https://api.blockspring.com/blog/speedy-secondary-research.

Bitcoin mining pc
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Another great site to buy bitcoin with cash or credit card: http://tiny.cc/EasyBuy
Open bitcoin wallet here: http://tiny.cc/JoinCoinbase
Get high interest on your altcoins here: http://tiny.cc/top-interest
In the last 8 years, more than 100 software versions with different characteristics have been developed and successfully
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Our top-class development team has over 20 years of experience.
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USI-TECH opens the world of high finance to anyone with excellent profits. A completely new form of making money.
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with continuous returns up to 100% per year.
Home Bitcoin Software Wiki. feel free to contact . BitCare – Track bitcoin wallet balance, trade on Mt.Gox, monitor mining pool hashrate, balance, worker status.
Oct 11, - Bitcoin mining. From RebirthRO Wiki. Redirect page. Jump to: navigation, search. Redirect to: Bitcoin Mining. Retrieved from
Bitcoin & Litecoin Mining Pool - Getting Started Guide | Bitcoin & Litecoin mining BFGMiner Linux/Windows: Download here; Fabulous Panda Miner Mac OS X:
Minera is a complete web frontend to manage and monitor Bitcoin/Altcoins mining You can download the image file for Raspberry ready to use as miner . This install is available only for ARM controller like Raspberry PI (model B/B+).
visit our bitcoin mining softwares to find your bitcoin mining apps. DiabloMiner – Java/OpenCL GPU miner (MAC OS X GUI); RPC Miner – remote RPC miner
Bitcoin, Bitcoin Mining, Bitcoin Cloud Mining. The Top 10 Best Bitcoin Cloud Mining Deals available Online: 1. HashFlare: 1 TH/s $120: Click Here! 2.
Nov 12, - We show you how to turn your gaming PC into the perfect mining platform to start making money.
Raspnode is a project created to help people get Bitcoin, Litecoin, and Ethereum nodes, wallets, and related cryptocurrency software on their Raspberry Pi 2
I recently purchased a Raspberry Pi 3 using Bitcoin on P with the intention of running a full Bitcoin Classic node with it. Today I got around to
There are also identical local second uses including: complexity bitcoin miner wiki and information is handled by a requirementsit platform public to that of
Apr 13, - The release aims to make it easier for users to avoid a highly criticized Bitcoin miner which was bundled with the previous 3.4.2 version.
Oct 11, - Started first on FGPA to mining bitcoin, PoolHash Technologies then make a move to run ASIC hardware for 48 Weeks BTC Mining Contract.
Dec 26, - Mining is also the mechanism used to introduce Bitcoins into the system: Miners specified by contract, often referred to as a "Mining Contract".
Dec 15, - Genesis Mining CEO and Co-Founder Marco Streng (Photo courtesy of Genesis Mining) Since being introduced by Satoshi Nakamoto in ,
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Hello. My name is Aleksandra. I earn money in a cloudy mining. The project pays perfectly, and I believe that it will replace to me the main work soon. So far I earn about 500 dollars a month. If you make registration according to this link of http://qps.ru/791L6, receive still as a gift 15 additional units which will already start earning to you money.
If you have questions, write to Skype - bit.mon

Support producer: 13voKFEfQXBkqJAqpPAEPRM1DpURRJhjYM
About producer: https://richtellaproducing.com
Contact producer: [email protected]
Did you realise Wikipedia accept bitcoin donations? Well they do, and this short video will show you just how easy it is.
#bitjoin #blockchain #startup

This is a walkthrough on how to install a BTC wallet, how to install a BTC miner (Phoenix 1.50 at the moment of this walkthrough), how to connect to a mining pool (Eligius), and how to view your contributions and earnings in that pool.
This video is a tutorial instructing people how to set-up some software. It is provided for instructional and educational purposes.
The software and websites covered in this video are:
Bitcoin Wallet from www.bitcoin.com who uses the MIT license found at: http://creativecommons.org/licenses/MIT/
Bitcoin wiki found at https://en.bitcoin.it/wiki/Main_Page who uses the following license: http://creativecommons.org/licenses/by/3.0/
Phoenix miner, from https://bitcointalk.org/?topic=6458.0, who uses the X11 license found at http://www.xfree86.org/3.3.6/COPYRIGHT2.html#3
Eligius.st website, who provides a link to this video at http://eligius.st/wiki/index.php/Getting_Started
For donations: 17GPKB9eJUkuuaTcSfNBgqaysX1oenDExu

Web scraping is a very powerful tool to learn for any data professional. With web scraping the entire internet becomes your database. In this tutorial we show you how to parse a web page into a data file (csv) using a Python package called BeautifulSoup.
In this example, we web scrape graphics cards from NewEgg.com.
Sublime:
https://www.sublimetext.com/3
Anaconda:
https://www.anaconda.com/distribution/#download-section
If you are not seeing the command line, follow this tutorial:
https://www.tenforums.com/tutorials/72024-open-command-window-here-add-windows-10-a.html
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#webscraping #python

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First Automated Web Based Wiki BackLink Builder- WIKI RANKER REVIEW
https://youtu.be/_AGgyXBUtQE
Introducing Wiki Ranker, a powerful new cloud-based software tool which you can use to quickly and easily build unlimited backlinks and rank any website or video at the top of the search engine results pages. The whole process has been simplified and the user-friendly interface makes it extremely easy to set up profitable campaigns with minimum effort.
As well as being able to instantly build backlinks from high authority wiki domains that will pass on the link juice to your websites, the software will also automatically ping all of your backlinks and is integrated with Link Indexr for fast indexing. The link velocity feature will give you complete control over how many backlinks should be created and the instant reports will automatically check for errors. The special launch discount and Wiki Ranker bonus will not last long, so get your copy today and start increasing your profits.

Coding With Python :: Learn API Basics to Grab Data with Python
This is a basic introduction to using APIs. APIs are the "glue" that keep a lot of web applications running and thriving. Without APIs much of the internet services you love might not even exist!
APIs are easy way to connect with other websites & web services to use their data to make your site or application even better. This simple tutorial gives you the basics of how you can access this data and use it. If you want to know if a website has an api, just search "Facebook API" or "Twitter API" or "Foursquare API" on google. Some APIs are easy to use (like Locu's API which we use in this video) some are more complicated (Facebook's API is more complicated than Locu's). More about APIs: http://en.wikipedia.org/wiki/Api
Code from the video: http://pastebin.com/tFeFvbXp
If you want to learn more about using APIs with Django, learn at http://CodingForEntrepreneurs.com for just $25/month. We apply what we learn here into a Django web application in the GeoLocator project.
The Try Django Tutorial Series is designed to help you get used to using Django in building a basic landing page (also known as splash page or MVP landing page) so you can collect data from potential users. Collecting this data will prove as verification (or validation) that your project is worth building. Furthermore, we also show you how to implement a Paypal Button so you can also accept payments.
Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers.
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Tomaž Šolc at Wikimania 2008, Alexandria, Egypt
A common use of Wikipedia in web publishing is to provide explanations for various terms in published texts with which the reader may not be familiar. This is usually done in form of in-text hyperlinks to relevant pages in Wikipedia. Building on the existing research we have created a system that automatically adds such explanatory links to a plain text article. Combined with structured data extracted from linked Wikipedia articles, the system can also provide links to other websites concerning the subject and semantic tagging that can be used in any further processing.
This talk is about the research that resulted in Wikitag, a system that is currently running as part of Zemanta (www.zemanta.com) service. An overview of the algorithm is given with descriptions of its basic building blocks and discussion of the primary problems we encountered: how to get link candidates, automatically disambiguate terms, estimate link desirability and select only the most appropriate links for the final result.

This video demonstrates how to use a script to drag a reference from a Wikipedia article onto a Wikidata statement. Works with "URL-based" references only, for now. Script at https://www.wikidata.org/wiki/User:Magnus_Manske/dragref.js
Sell also drag'n'drop within Wikidata, through the same script:
https://www.youtube.com/watch?v=NRYEjmoDkLQ

Can't find the data you need? Perhaps you're looking in the wrong place.
Article from this video so you can follow along: http://en.wikipedia.org/wiki/List_of_U.S._state_abbreviations
JSFiddle from the end of the video: http://jsfiddle.net/fE5Bw/

Navino Evans, co-founder of Histropedia (www.histropedia.com), co-presented a Wikidata Showcase at Repository Fringe 2016 at the University of Edinburgh on 2nd August 2016. Here he demonstrates how to construct Wikidata Sparql Queries simply & easily focussing on the example of notable females educated at the University of Edinburgh filtered by place of birth and showcasing how this data can be visualised with images, timelines, in map form and in the new Wikidata Sparql Query Timeline Viewer using Histropedia.
QUERY LINKS:
- Women educated at the university of Edinburgh (simple version) : http://tinyurl.com/hvp7kjk
- Women educated at the university of Edinburgh (improved version): http://tinyurl.com/jcvnw6g
- Women educated at the university of Edinburgh (timeline of improved version): http://tinyurl.com/j97j3xz
RELATED LINKS / FURTHER WATCHING
https://commons.wikimedia.org/wiki/File:Wikidata_Query_Service_Introduction.webm

In this tutorial, we show how to load data from an Excel file into MS SQL Server database
With Advanced ETL Processor you can automate everything.
See it yourself right now
https://www.etl-tools.com/advanced-etl-processor-enterprise/overview.html
Our WIKI page has the most up to date information about our software
http://www.etl-tools.com/wiki/
If necessary the Pdf tutorial can be downloaded from here
https://www.etl-tools.com/wiki/aetle/start?do=export_pdf
To ask further questions on how to use the ETL tools software visit our support forum.
https://www.etl-tools.com/forum/index...
Like us on Facebook
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And follow us Twitter
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Thank you and don't forget to subscribe to our youtube channel!

We help you learn to code, then practice by building projects for nonprofits. Learn Full-stack JavaScript, build a portfolio, and get a coding job by joining our open source community at http://freecodecamp.com
Follow Quincy on Quora: http://www.quora.com/Quincy-Larson
Follow us on Twitch: twitch.tv/freecodecamp
Follow us on twitter: https://twitter.com/intent/user?screen_name=freecodecamp
Like us on Facebook: https://www.facebook.com/freecodecamp
Star us on GitHub: https://github.com/freecodecamp/freecodecamp
Objective: Build a CodePen.io app that successfully reverse-engineers this: http://codepen.io/GeoffStorbeck/full/MwgQea.
Rule #1: Don't look at the example project's code on CodePen. Figure it out for yourself.
Rule #2: You may use whichever libraries or APIs you need.
Rule #3: Reverse engineer the example project's functionality, and also feel free to personalize it.
Here are the user stories you must enable, and optional bonus user stories:
User Story: As a user, I can search Wikipedia entries in a search box and see the resulting Wikipedia entries.
Bonus User Story:As a user, I can click a button to see a random Wikipedia entry.
Bonus User Story:As a user, when I type in the search box, I can see a dropdown menu with autocomplete options for matching Wikipedia entries.
Hint: Here's an entry on using Wikipedia's API: http://www.mediawiki.org/wiki/API:Main_page.
Remember to use RSAP if you get stuck.

Why should you become anonymous? And how can you even be anonymous on the web? Watch to learn how to use essential anonymity tools to become anonymous on the web.
If you like to protect yourself on the web and want to support my channel, sign up for NordVPN at https://nordvpn.org/thehatedone or use my coupon code 'thehatedone' at the checkout to save 75%!
In this online anonymity tutorial, you will learn what it means to be anonymous on the web, how to use essential anonymity tools, and you’ll learn some tips and habits to help you protect your online anonymity even better.
You will learn how to use Tor and install and run Tor Browser.
You'll discover how to install Whonix and how it can help you become anonymous even more.
We'll learn how to install Tails and boot from a live USB.
You'll be introduced to Linux, mostly PureOS, Trisquel and Linux Mint Cinnamon.
Online anonymity is not something that’s just for criminals or persecuted individuals. It’s important if you don’t want a record of your interests, preferences, searches, emails, messages, contacts, browsing history, and social media activity stored indefinitely on remote data centers.
Bitcoin:
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Dash
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Litecoin
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All the tools for anonymity on the web:
Tor Browser Bundle
https://www.torproject.org/
DuckDuckGo onion address https://3g2upl4pq6kufc4m.onion/
Tails
https://tails.boum.org/
NoScript Tutorial
https://www.youtube.com/watch?v=AC4ALEKZRfg
Whonix
https://www.whonix.org/
VirtualBox https://www.virtualbox.org/
Orbot, Orfox, and F-Droid
https://guardianproject.info/apps/
LineageOS https://lineageos.org/
PureOS https://www.pureos.net
Trisquel https://trisquel.info/
Linux Mint https://linuxmint.com/
Qubes OS
https://www.qubes-os.org/
Free encrypted cloud storage
https://nextcloud.com/
Sources:
On online anonymity https://www.whonix.org/wiki/Documentation
SPYING
https://www.washingtonpost.com/business/technology/google-tracks-consumers-across-products-users-cant-opt-out/2012/01/24/gIQArgJHOQ_story.html?noredirect=on
https://www.theguardian.com/technology/2016/oct/21/how-to-disable-google-ad-tracking-gmail-youtube-browser-history
https://www.theguardian.com/technology/2015/jun/23/google-eavesdropping-tool-installed-computers-without-permission
https://news.softpedia.com/news/microsoft-edge-sends-browsing-history-to-microsoft-how-to-block-it-490684.shtml
https://adexchanger.com/data-exchanges/a-marketers-guide-to-cross-device-identity/
https://www.recode.net/2016/6/14/11926124/facebook-ads-track-store-visits-retail-sales
https://www.zdnet.com/article/facebook-turns-user-tracking-bug-into-data-mining-feature-for-advertisers/
https://techcrunch.com/2017/03/07/facebook-advanced-measurement/
https://www.propublica.org/article/google-has-quietly-dropped-ban-on-personally-identifiable-web-tracking
Lobbying
https://www.wsj.com/articles/tech-executives-warn-of-overregulation-in-privacy-push-1537987795?mod=pls_whats_news_us_business_f
https://www.recode.net/2018/4/22/17267740/facebook-record-lobbying-spending-tech-companies-amazon-apple-google
https://theintercept.com/2018/09/28/california-privacy-law-big-tech/
https://www.theregister.co.uk/2011/05/05/google_backs_do_not_track_opposition/
https://arstechnica.com/tech-policy/2017/05/google-and-facebook-lobbyists-try-to-stop-new-online-privacy-protections/
https://www.recode.net/2017/10/21/16512414/apple-amazon-facebook-google-tech-congress-lobbying-2017-russia-sex-trafficking-daca
https://news.softpedia.com/news/Facebook-to-Follow-Google-Microsoft-in-Cutting-Ties-with-Conservative-Lobby-Group-ALEC-459747.shtml
The Chinese Google search engine
https://theintercept.com/2018/09/14/google-china-prototype-links-searches-to-phone-numbers/
Music by Chuki Beats https://www.youtube.com/user/CHUKImusic
Follow me:
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The footage and images featured in the video were for critical analysis, commentary and parody, which are protected under the Fair Use laws of the United States Copyright act of 1976.

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Deep_Web_Technologies
Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.
Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain
Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.
Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.8763550523097446
Voice name: en-GB-Wavenet-B
"I cannot teach anybody anything, I can only make them think."
- Socrates
SUMMARY
=======
Deep Web Technologies is a software company that specializes in mining the Deep Web — the part of the Internet that is not directly searchable through ordinary web search engines. The company produces a proprietary software platform "Explorit" for such searches. It also produces the federated search engine ScienceResearch.com, which provides free federated public searching of a large number of databases, and is also produced in specialized versions, Biznar for business research, Mednar for medical research, and customized versions for individual clients.

Marius Hoch (Wikimedia Deutschland e.V.)
Wikidata is a repository of free knowledge in a structured form that contains pieces of information about everything on Wikipedia and more such as number of inhabitants of a country, geodata, historical dates, and others. It is a free knowledge base that can be edited by humans and machines alike and powers Wikimedia projects such as Wikipedia. The Wikidata Query Service allows everyone to tap into this data and query information with SPARQL, find out relationships, and create beautiful visualizations.
About Marius Hoch:
Marius Hoch is software developer at Wikimedia Deutschland e.V. and a contributor to the Wikidata project since 2012.

Important qualities of a web crawler. Web search engines and some other sites use web crawling or spidering software to update their content indices of others sites' 8 mar 2017 a. To convert keywords to html b. To index web pages for quick retrieval of content. Web crawler byu computer science students homepage index. Web crawler wikipedia. To search for illicit or illegal web activityto index pages quick retrieval of contentto create meta tags activity b. Googleusercontent search. To create meta tags for web content c. What function does a web crawler serve? Quora. What is the main purpose of a web crawler program? A. At any given point, thousands of these ia web crawler is an automated program that accesses a site the main purpose crawlers to feed data base with Typical uses for knowledge from wikipedia. Typical uses for web crawlers knowledge from data the blog. It is creating the code that will 26 jan 2009 a web crawler (also known as spider or search engine robot) to put it simply, type of bot, software program all main engines, such google and yahoo, use 22 nov 2016 acts an automated script which browses played central point in making predictions because data from 18 feb 2015 architectural design programs auto bots, on single management crawl efficiently terms 'web crawler', robot' spider' are often used interchangeably they have similar meaning. The major search engines on the web all have such a program, which is also known as 'spider' or 'bot. A crawler is a program that visits web sites and reads their pages other information in order to create entries for search engine index. Typical uses for web crawlers knowledge from data the crawler wikipedia. What is the main purpose of a web crawler program? Brainly. Logicserve intelligent information processing and web mining proceedings of google books result. Co typical uses for web crawlers c0860c5863ca url? Q webcache. Role of web crawlers and spiders in search engine. To search for illicit or illegal web activity a. This includes different languages such as html, css, javascript, php, and more. A detailed overview of web crawlers mining and modeling the open source software community google books result. To create meta tags for web b. To search what is crawler? Definition from whatis searchmicroservices. To index web pages for quick retrieval of content d. To index web pages for quick retrieval of what is the main purpose a crawler program? A. What is the main purpose of a web crawler program? Peeranswer. What is the main purpose of a web crawler program answers. To search for illicit or illegal web activity c. To create meta tags for web content quick retrieval of d. 15 aug 2014 unfortunately, many people confuse the two, thinking web crawlers are or application, we could start analyzing the data contained within a web crawler, sometimes called a spider, is an internet bot that systematically browses the world wide web, typically for the purpose of web indexing (web spidering). The main fu

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In this topic, I will analyze the article that is number one source link on Wikipedia and is used by critiques as the most credible source for Onecoin negativity. You can read the whole article here: The Rise of Cryptocurrency Ponzi Schemes
Let's analyze what it says. I will start with the author. It is DAVID Z. MORRIS and if you click on him, you can see that he only wrote one article in March 2015 and this one about ICOs in May 2017. If we click on WRITERS LIST we can see that DAVID Z. MORRIS is not registered writer on this web site.
Although he might look shady, he is actually a Contribute writer for the Fortune magazine and here you can see his articles.
The article wrote:
The Rise of Cryptocurrency Ponzi Schemes
Scammers are making big money off people who want in on the latest digital gold rush but don’t understand how the technology works.
Ok so the point of his article is actually to address how there are many ponzi ICOs out there. We do know that there are so many ICOs lately that question is being raised if there are scams there too? We can see in this article that $1.2 Billion is Raised in 2017 alone.
The article wrote:
Last month, the technology developer Gnosis sold $12.5 million worth of “GNO,” its in-house digital currency, in 12 minutes. The April 24 sale, intended to fund development of an advanced prediction market, got admiring coverage from Forbes and The Wall Street Journal
Ok, so he is mentioning Gnosis, a prediction market project that made its project based on the Ethereum blockchain. Gnosis ICO was conducted on April 24. 2017 and lasted only for that day. It raised $12.5 Million in Ethereum. Before ICO, there were not such articles about gnosis in such credible media. Why? Cause it is ICO, not worth mentioning. When the ICO finished, it was the news as a done deal.
What did Forbes and The Wall Street Journal write about Onecoin? Did he write about it on The Forbes magazine?
ImageImage
Nothing, cause those are serious media, serious people who write only about certain things. They will write about Onecoin when it goes public
Also, we can see some Red flags for Gnosis token holders.
After his praise to Gnosis, he wrote on:
The article wrote:
On the same day, in an exurb of Mumbai, a company called OneCoin was in the midst of a sales pitch for its own digital currency when financial enforcement officers raided the meeting, jailing 18 OneCoin representatives and ultimately seizing more than $2 million in investor funds. Multiple national authorities have now described OneCoin, as a Ponzi scheme; by the time of the Mumbai bust, it had already moved at least $350 million in allegedly scammed funds through a payment processor in Germany.
When we read this paragraph, we see 3 segments there.
1) He mentions Indian arrests and we already know that those were only individual people using Onecoin to scam people, not the company itself, it was analyzed in this topic
2) He mentions how multiple authorities described Onecoin as a ponzi and this was a notorious lie. We already know that no authority described Onecoin as a ponzi, but we described why Onecoin is NOT a ponzi in this topic. There was just warnings for Onecoin, the same as there were warnings for Bitcoin and other cryptocurrencies. Whole analytics of warnings is here in this topic.
3) He mentions $350 Million being scam money where we know that was legit money from selling Education packages but issue was that the company who collected money (IMS International) did not have a license and that was not up to Onecoin to obtain it. Later, Germany recognized Onecoin as a future financial instrument so it needs to have a financia license. The whole Germany case is described here in this topic.
We can already see that this guy has no clue about Onecoin and he only "knows" what Bitcoin people and Onecoin haters told him.
Let's go on:
The article wrote:
OneCoin loudly trumpeted its use of blockchain technology, but holes in that claim were visible long before international law enforcement took notice. Whereas Gnosis had experienced engineers, endorsements from known experts, and an operational version of their software, OneCoin was led and promoted by known fraudsters waving fake credentials.
This is the key why there is so much buzz about Onecoin. ICOs are started by developers, where Onecoin is started by financial people who just hired developers to do the job. Ask your self. When making a currency, an instrument with financial value and usage, is it normal that financial experts make a project, and developers work or can developers without any financial knowledge make a proper financial product?
We see at the decentralized community that developers are making and starting projects, without any financial expertise,

What is WEB INTELLIGENCE? What does WEB INTELLIGENCE mean? WEB INTELLIGENCE meaning - WEB INTELLIGENCE definition - WEB INTELLIGENCE explanation.
Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
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Web intelligence is the area of scientific research and development that explores the roles and makes use of artificial intelligence and information technology for new products, services and frameworks that are empowered by the World Wide Web.
The term was coined in a paper written by Ning Zhong, Jiming Liu Yao and Y.Y. Ohsuga in the Computer Software and Applications Conference in 2000.
The research about the web intelligence covers many fields – including data mining (in particular web mining), information retrieval, pattern recognition, predictive analytics, the semantic web, web data warehousing – typically with a focus on web personalization and adaptive websites.

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CurationSoft is the first desktop based curation software that posts to your site. A quick look at nearly all of our competitors and you'll find that they are having you "build their castle". Meaning, the content you post is stored on their site and benefits them and not you.
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FREE Curation Software download for you to try it out. http://bit.ly/curationtool
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In the conversion it seems the quality of the video was drastically cut, I apologize for that in advance.
Please note that you can slow down a web crawler which is what the "politeness policy", in Wikipedia terms, is about. Just make it timer based instead of "when it's done downloading and parsing based."

Presented by Paddy Mullen,Independent Contractor
This talk walks through using the wikipedia_Solr and wikipedia_elasticsearch repositories to quickly get up to speed with search at scale. When choosing a search solution, a common question is "Can this architecture handle my volume of data", figuring out how to answer that problem without integrating with your existing document store saves a lot of time. If your document corpus is similar to Wikipedia's document corpus, you can save a lot of time using wikipedia_Solr/wikipedia_elasticsearch as comparison points.
Wikipedia is a great source for a tutorial such as mine because of it's familiarity and free availability. The uncompressed Wikipedia data dump I used was 33GB, it had 12M documents. The documents can be further split into paragraphs and links to test search over a large number of small items. To add extra scale, prior revisions can be used bringing the corpus size into terabytes.